Triple

T11330865
Position Surface form Disambiguated ID Type / Status
Subject Guano E268338 entity
Predicate administrativeDivision P747 FINISHED
Object Guano Canton E918054 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Guano Canton | Statement: [Guano, administrativeDivision, Guano Canton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guano Canton
Context triple: [Guano, administrativeDivision, Guano Canton]
  • A. Guano Canton chosen
    Guano Canton is an administrative subdivision in Chimborazo Province, Ecuador, known for its historic town, traditional crafts, and proximity to the city of Riobamba.
  • B. Montecristi
    Montecristi is a historic town in coastal Ecuador renowned as the traditional birthplace and production center of the Panama hat.
  • C. San Cristóbal
    San Cristóbal is a traditional residential neighborhood in Buenos Aires, Argentina, known for its historic architecture and central urban location.
  • D. San Cristóbal
    San Cristóbal is a municipality in western Cuba located within Artemisa Province.
  • E. San Cristóbal
    San Cristóbal is a locality situated within Colombia’s Bolívar Department, known as part of the Caribbean region of the country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9fd38308190a5458be1bfcc89ea completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5564218bc8190bbaf9aceb69fdc26 completed April 19, 2026, 10:25 p.m.
Created at: April 8, 2026, 9:32 p.m.